Triple

T20392286
Position Surface form Disambiguated ID Type / Status
Subject Arlene Martel E498111 entity
Predicate spouse P13 FINISHED
Object Matthew Drake
Matthew Drake is known primarily as the husband of American actress Arlene Martel.
E1428359 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Matthew Drake | Statement: [Arlene Martel, spouse, Matthew Drake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matthew Drake
Context triple: [Arlene Martel, spouse, Matthew Drake]
  • A. Sam Drake
    Sam Drake is a seasoned treasure hunter and the older brother of protagonist Nathan Drake in the Uncharted video game series.
  • B. Jason King
    Jason King is a 1970s British television action-adventure series centered on a flamboyant novelist-turned-detective, spun off from the show "Department S."
  • C. Charles Blake
    Charles Blake is a pragmatic and progressive government official in Downton Abbey who becomes a significant love interest and intellectual match for Lady Mary Crawley.
  • D. Tom Beckett
    Tom Beckett is an actor best known for his role as a principal cast member on the classic-style 1940s radio-station sitcom series "Remember WENN."
  • E. Nick Marston
    Nick Marston is a television and film producer best known for his executive production work on the adaptation of "Jonathan Strange & Mr Norrell."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Matthew Drake
Triple: [Arlene Martel, spouse, Matthew Drake]
Generated description
Matthew Drake is known primarily as the husband of American actress Arlene Martel.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Matthew Drake
Target entity description: Matthew Drake is known primarily as the husband of American actress Arlene Martel.
  • A. Sam Drake
    Sam Drake is a seasoned treasure hunter and the older brother of protagonist Nathan Drake in the Uncharted video game series.
  • B. Jason King
    Jason King is a 1970s British television action-adventure series centered on a flamboyant novelist-turned-detective, spun off from the show "Department S."
  • C. Charles Blake
    Charles Blake is a pragmatic and progressive government official in Downton Abbey who becomes a significant love interest and intellectual match for Lady Mary Crawley.
  • D. Tom Beckett
    Tom Beckett is an actor best known for his role as a principal cast member on the classic-style 1940s radio-station sitcom series "Remember WENN."
  • E. Nick Marston
    Nick Marston is a television and film producer best known for his executive production work on the adaptation of "Jonathan Strange & Mr Norrell."
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0b4a71ebc8190b153a36c738730f4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e679108b1481909677cf80e8e77e76 completed April 20, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0876260e548190b0ca1cdee28fe72d completed May 16, 2026, 1:50 p.m.
NEDg Description generation batch_6a0877d6b364819080b5e701acea02aa completed May 16, 2026, 1:57 p.m.
NED2 Entity disambiguation (via description) batch_6a08787cfe6c8190881554ead3cfd248 completed May 16, 2026, 2 p.m.
Created at: April 16, 2026, 11:28 a.m.